Sign in

Felix Draxler

@drrelax.bsky.social
20 followers 5 following 9 posts

Postdoc @ UCI with Stephan Mandt. PhD @ Heidelberg University. Generative models, Parallel Token Prediction, Free-Form Flows, Normalizing Flows

PostsRepliesMedia
Felix Draxler @drrelax.bsky.social · 03/07/2026
AI for science needs calibrated models and uncertainty, but we show standard test-time diffusion guidance methods miss the Bayesian posterior. Our Calibrated Bayesian Guidance (CBG) fixes this, enabling Bayesian inference and setting a new SOTA for black-hole imaging.
Our CBG fits a posterior right, baselines (DPS, NDTM) are biased.
110
Felix Draxler @drrelax.bsky.social · 22/04/2026
LLMs are autoregressive and slow? No! Parallel Token Prediction decodes multiple consistent tokens in one model call. PTP allows arbitrary dependencies in one call, unlike discrete diffusion. Practical: 2.4x speedup github.com/mandt-lab/ptp ICLR: Apr 23, morning poster P3-#608
1295